[1]
“A Random Forest-Based Machine Learning Framework with PCA, SMOTE, and SHAP for Efficient and Interpretable Coronary Artery Disease Prediction”, IJCAI, vol. 49, no. 22, May 2025, doi: 10.31449/inf.v49i22.7998.